The Quest for Hydrological Signatures: Effects of Data Transformation on Bayesian Inference of Watershed Models
Sign Up to like & getrecommendations! Published in 2018 at "Water Resources Management"
DOI: 10.1007/s11269-018-1908-6
Abstract: Hydrological models contain parameters, values of which cannot be directly measured in the field, and hence need to be meaningfully inferred through calibration against historical records. Although much progress has been made in the model… read more here.
Keywords: hydrological signatures; model; hydrological models; calibration ... See more keywords
Data transformations to improve the performance of health plan payment methods.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of health economics"
DOI: 10.1016/j.jhealeco.2019.05.005
Abstract: The conventional method for developing health care plan payment systems uses observed data to study alternative algorithms and set incentives for the health care system. In this paper, we take a different approach and transform… read more here.
Keywords: health plan; data transformations; health; plan payment ... See more keywords
Novel Data Transformations for RNA-seq Differential Expression Analysis
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-41315-w
Abstract: We propose eight data transformations (r, r2, rv, rv2, l, l2, lv, and lv2) for RNA-seq data analysis aiming to make the transformed sample mean to be representative of the distribution center since it is… read more here.
Keywords: sample; analysis; voom transformation; data transformations ... See more keywords
Assessment of data transformations for model-based clustering of RNA-Seq data
Sign Up to like & getrecommendations! Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0191758
Abstract: Quality control, global biases, normalization, and analysis methods for RNA-Seq data are quite different than those for microarray-based studies. The assumption of normality is reasonable for microarray based gene expression data; however, RNA-Seq data tend… read more here.
Keywords: model based; seq data; data transformations; based clustering ... See more keywords